Using Chatgpt’s Advanced Data Analysis Feature For Ppc

The world of generative AI is evolving rapidly, with breakthroughs in image and video generation, multimodal capabilities, and – crucially for marketers – data analysis. 

For PPC professionals, these tools offer a new level of speed and depth in uncovering insights and optimizing performance.

One standout capability is ChatGPT’s Advanced Data Analysis, which allows users to upload raw data, ask natural language questions, and receive clear, actionable insights  – fast.

 What once took hours can now happen in minutes.

Advanced data analysis in ChatGPT: Access and availability

Originally launched in July 2023 as a beta feature for Plus and Enterprise users, Advanced Data Analysis is now integrated directly into the core ChatGPT experience.

• Free users have limited access to file uploads and advanced data analysis
• Plus and Pro users have extended limits for deeper, faster analysis.

Here’s a look at how this tool can elevate your PPC workflow.

Uploading and preparing your Google Ads data

To get started with ChatGPT, click the plus button to connect or upload the data source you’d like to analyze. 

In this example, I uploaded a .csv file that I downloaded directly from Google Ads.

Exploring key insights: Conversion rates by day

I started by asking which day of the week had the best conversion rates and requested a chart. 

ChatGPT began by scanning the file to identify where the actual data starts and what each column contains. 

This step alone is valuable. It means you don’t have to clean the data yourself or give detailed instructions upfront. 

For instance, this dataset doesn’t include a conversion rate column, so the model calculated it automatically. 

I didn’t specify which data points to use in that calculation. The model inferred it, just as a junior data analyst would.

Once the data is normalized, ChatGPT generates a graph sorted by the day of the week with the highest conversion rate. 

In this case, it turned out to be Friday. 

From there, you can customize the chart’s colors and interact further with the data using the “Now interactive! (Beta)” button built into the chart.

Dig deeper: Top AI tools and tactics you should be using in PPC

Forecasting and budget recommendations

I then decided to take it a step further and asked ChatGPT to forecast results through the end of the year and recommend a target spend amount.

This is a common request we get as PPC marketers:

• How much could we spend?
• What would the results look like?

Traditionally, answering these questions can take hours – or even days – of building and refining models. 

Tools like ChatGPT and Gemini can now do this in a matter of minutes.

In this case, the model provided a recommended budget along with projected outcomes based on the dataset. 

It also offered strategic suggestions for improving performance and achieving the forecasted results.

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Uncovering deeper insights with correlations

Here’s another use case that I believe delivers meaningful insights quickly.

In this example, I wanted to explore whether click-through rates (CTRs) and conversion rates were correlated. 

ChatGPT quickly generated a scatter plot and identified a negative correlation of -0.64, meaning that, in this dataset, days with higher CTRs tended to have lower conversion rates. 

It also provided a possible explanation for this pattern.

This is particularly valuable for those of us in paid search. 

While we often know which levers to pull within the platform, we typically rely on a data scientist or analytics team to uncover and interpret deeper insights like this. 

In this case, ChatGPT handles that analysis for you – bridging the gap between execution and strategy.

Dig deeper: 6 ways GPT Operator is changing PPC automation

Handling complex visualizations

The volume of data requests and potential analyses is virtually endless. 

Fortunately, you can ask follow-up questions or refine the dataset if it’s too large to interpret effectively.

For example, I initially asked for a heat map broken down by campaign, but the output was overwhelming and unreadable. 

So, I followed up by requesting just the top 10 campaigns by spend – and received a much cleaner, more useful visualization.

Letting AI suggest the next analysis

Even if you’re not sure where to begin, ChatGPT can help you get started – sometimes all it takes is a simple question. 

In this case, I asked:

• “What are some other interesting insights or visual analyses that can be done with this data to help me improve performance?”

The model responded with several suggestions that not only helped me dive deeper but also surfaced ideas I hadn’t considered. 

These AI-driven prompts can spark meaningful new directions in your analysis.

Dig deeper: ChatGPT for PPC: 17 strategic prompts you can use today

Pareto analysis and actionable optimization

Next, I asked ChatGPT to generate a bubble chart for the top 30 campaigns and run a Pareto analysis.

This analysis revealed that 20% of campaigns were responsible for 80% of conversions. 

That’s incredibly useful insight, especially when deciding how much to invest in tail terms versus your core performers.

Both the bubble chart and Pareto breakdown provided quick takeaways and suggestions for actionable next steps based on the data.

Final thoughts: Advanced data analysis in ChatGPT and beyond

The real advantage here is how easily advanced data analysis becomes part of your workflow. 

What used to take hours or specialized support can now happen in minutes, with AI identifying patterns, correlations, and opportunities you might have missed.

These insights lead to faster, more informed PPC decisions – whether it’s reallocating budget, refining targeting, or identifying underperforming campaigns. 

As the tools evolve and more data gets connected, analysis becomes not just easier, but proactive.

This shift is giving PPC marketers a new edge: the ability to act on insights faster than the competition.

Dig deeper: How to automate your Google Ads workflow with the ChatGPT API